Publications
Interface for Sparse Linear Algebra Operations
, November 2024.
DOI: 10.48550/arXiv.2411.13259
Accelerating Tensor Contractions in High-Order FEM with MAGMA Batched
, Atlanta, GA, SIAM Conference on Computer Science and Engineering (SIAM CSE17), Presentation, March 2017.
(9.29 MB)

Flexible Batched Sparse Matrix Vector Product on GPUs
, Denver, Colorado, ScalA'17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, November 2017.
(16.8 MB)

How to Build Your Own Deep Neural Network
: PEARC20, July 2020.
(18.8 MB)

Integrating Deep Learning in Domain Science at Exascale (MagmaDNN)
, virtual, DOD HPCMP seminar, December 2020.
(11.12 MB)

SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)

SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)

Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization,”
University of Tennessee Computer Science Technical Report (also as a LAWN), no. ICL-UT-11-08, September 2011.
(618.53 KB)
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Algorithms and Optimization Techniques for High-Performance Matrix-Matrix Multiplications of Very Small Matrices,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-09: Innovative Computing Laboratory, University of Tennessee, September 2018.
(3.74 MB)
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ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research
: Advanced Scientific Computing Advisory Committee (ASCAC), US Department of Energy, August 2020.
ASCR@40: Highlights and Impacts of ASCR’s Programs
: US Department of Energy’s Office of Advanced Scientific Computing Research, June 2020.
DOI: 10.2172/1631812
C++ API for Batch BLAS,”
SLATE Working Notes, no. 04, ICL-UT-17-12: University of Tennessee, December 2017.
(1.89 MB)
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C++ API for BLAS and LAPACK,”
SLATE Working Notes, no. 02, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.
(1.12 MB)
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The Case for Directive Programming for Accelerator Autotuner Optimization,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.
(341.52 KB)
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CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,”
ECP Milestone Reports: Zenodo, May 2020.
DOI: 10.5281/zenodo.3860804
(28.12 MB)
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CEED ECP Milestone Report: Performance Tuning of CEED Software and 1st and 2nd Wave Apps
: Zenodo, October 2019.
DOI: 10.5281/zenodo.3477618
(8.31 MB)

CEED ECP Milestone Report: Public release of CEED 2.0
: Zenodo, April 2019.
DOI: 10.5281/zenodo.2641316
(4.98 MB)

A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
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A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
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A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
“
A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
“
A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
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A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.
(9.26 MB)
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A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.
(9.26 MB)
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A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.
(5.82 MB)
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A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
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Distributed Dense Numerical Linear Algebra Algorithms on Massively Parallel Architectures: DPLASMA,”
University of Tennessee Computer Science Technical Report, UT-CS-10-660, September 2010.
(366.26 KB)
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Distributed-Memory Task Execution and Dependence Tracking within DAGuE and the DPLASMA Project,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-10-02, 00 2010.
(400.75 KB)
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Hierarchical QR Factorization Algorithms for Multi-Core Cluster Systems,”
University of Tennessee Computer Science Technical Report (also Lawn 257), no. UT-CS-11-684, October 2011.
(405.71 KB)
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Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,”
Lawn 277, no. UT-CS-13-709, May 2013.
(298.63 KB)
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Integrating Deep Learning in Domain Sciences at Exascale,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-10: University of Tennessee, August 2020.
(1.09 MB)
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Linear Systems Performance Report,”
SLATE Working Notes, no. 08, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.
(1.64 MB)
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Parallel BLAS Performance Report,”
SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.
(4.39 MB)
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Parallel Norms Performance Report,”
SLATE Working Notes, no. 06, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.
(1.13 MB)
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Performance Tuning SLATE,”
SLATE Working Notes, no. 14, ICL-UT-20-01: Innovative Computing Laboratory, University of Tennessee, January 2020.
(1.29 MB)
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SLATE Performance Report: Updates to Cholesky and LU Factorizations,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-14: University of Tennessee, October 2020.
(1.64 MB)
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